Database Analyst. Apply Now.
See below for full description.
The Database Analyst works under the direction of the Primary Investigator for the Safe Babies project and the Vice Chancellor for Health Affairs, Population Health at The University of Texas System. This position will support the data analysis needs of the Safe Babies project and other projects in Population Health. The Safe Babies project includes multiple projects investigating and informing prevention efforts aimed at improving infant health, safety, and well-being. This position is based in Austin, Texas and required up to 10% travel for project meetings with collaborators and for conferences.
Major Responsibilities / Duties / Critical Tasks:
- Secondary analyses of hospital administrative data, vital records data, Child Protective Services data, and publically available data.
- Primary analysis of longitudinally collected research data for the Safe Babies project.
- Contributing to reports for state agencies and for publication in peer-reviewed journals.
- Works closely with the project P.I. to develop research hypotheses and analysis plans to test them.
- Develop well documented scripts for data matching, cleaning, and reduction.
- Work with the project P.I. to recruit, oversee, and mentor graduate students assisting with the project.
Accompanying Knowledge, Skills, Abilities and Competencies:
- Strong statistics background and experience analyzing and linking large datasets.
- Good understanding of the types of publically available data that are used in public health analyses and have experience utilizing these datasets.
- Demonstrated experience with technical writing and with documenting code/scripts used for data analyses and cleaning.
- Strong scripting skills with R, Python, or SAS and experience analyzing data in R, SAS, or STATA including writing syntax.
- Experience using electronic data collection systems (such as REDCap, Qualtrics, or fillable PDF forms).
- Strong communication skills and experience presenting at conferences.
Required Education / Experience:
- Master’s Degree in a health science field with strong statistics course and two (2) years’ of work experience analyzing research data and data management, including experience analyzing longitudinal data.
- Bachelor’s Degree in a related field with two (2) additional years of experience (4 total) analyzing research data.